ResFusionNet-TSMT: A residual network for pesticide detection using surface-enhanced Raman spectroscopy

= 0.8764) for quantification, outperforming both traditional machine learning and state-of-the-art deep learning approaches. Ablation studies and visualizations validate the model's effectiveness and its ability to capture characteristic spectral features, demonstrating its strong potential for application in agricultural safety monitoring.